The twice-annual ranking of distributed computing systems based on the Linpack parallel Fortran benchmark, a widely used and sometimes maligned test, is as much a history lesson as it is an expectation always looking forward, with anticipation, to the next performance milestones in high performance computing. …
Updated: AMD’s “Rome” processors, the second generation of Epyc processors that the company will be putting into the field, are a key step for the company on its path back to the datacenter. …
The Ohio Supercomputer Center’s mission to supply supercomputing capabilities to educational institutions and companies throughout the state is about to get a significant boost in the form of a powerful and highly-efficient cluster based on Dell EMC servers and leveraging liquid-cooling technology from CoolIT. …
When you look at IBM, it is as if you are seeing many different instantiations of Big Blue across time playing out in the present, side by side. …
Ever since the “Aurora” vector processor designed by NEC was launched last year, we have been wondering if it might be used as a tool to accelerate workloads other than the traditional HPC simulation and modeling jobs that are based on crunching numbers in single and double precision floating point. …
There is a battle heating up in the datacenter, and there are tens of billions of dollars at stake as chip makers chase the burgeoning market for engines that do machine learning inference. …
There are a lot of different kinds of machine learning, and some of them are not based exclusively on deep neural networks that learn from tagged text, audio, image, and video data to analyze and sometimes transpose that data into a different form. …
We all expected that the Summit supercomputer at Oak Ridge National Lab would be a major part of pushing deep learning forward in HPC given its balanced GPU and IBM Power9 profile (not to mention the on-site expertise to get those graphics engines doing cutting-edge work outside of traditional simulations). …
Many programs have a tough time spanning across high levels of concurrency, but if they are cleverly coded, databases can make great use of massively parallel compute based in hardware to radically speed up the time it takes to run complex queries against large datasets. …
For any public cloud to succeed, it has to offer best of breed technologies reasonably close to the cutting edge and supporting the wide variety of compute that the enterprises of the world would otherwise acquire and run on premises. …
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